Programmers are making $10k-200k monthly on #polymarket

here's how they actually do it

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1. Arbitrage bots

buy YES + NO when combined price < $1

example: YES at 48¢ + NO at 49¢ = 97¢ total

you lock $0.03 profit per $1 no matter who wins

trader "distinct-baguette" made $242k in 1.5 months doing this

targets 15-min crypto markets where prices move fast

python script polls API every 1-3 seconds, executes when sum < 99¢

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2. Statistical arbitrage

find correlated markets that drift apart

"trump wins" vs "GOP senate control" should move together

when spread hits 4-7%, short expensive one, long cheap one

close when they converge

trader "sharky6999" made $480k scanning 100+ markets per minute

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3. AI probability models

train ML models to estimate real odds from news/social data

if your model says 60% YES but market at 50¢, buy

trader "ilovecircle" made $2.2M in 2 months with 74% accuracy

uses ensemble of 10 AI models, retrains weekly

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4. Spread farming

buy at bid (5¢), sell at ask (6¢), repeat

or hedge across platforms (short polymarket, long binance)

trader "cry.eth2" made $194k with 1M trades

high-frequency loop via CLOB API

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5. Copy-trading automation

mirror successful whale traders automatically

scan profiles, execute proportional trades

one bot made $80k in 2 weeks copying near-resolved markets

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Tech stack:

python + requests library for API calls

web3-py for blockchain interactions deploy on VPS for 24/7 operation

polymarket has REST APIs for everything:

gamma markets API (prices/volumes)
CLOB API (place orders)
data API (track positions)

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Starting point:

> build simple arbitrage bot first
> fund with $100-1k for testing target high-volume markets (politics/crypto)
> expect 50-70% win rate but focus on positive EV